Predictive Analytics Analysis

Other than utilizing it to examine patterns. The quantity of associations for the client to break down the distinctive

subsection{Recommending Unexpected Relevant Items} Once the forgotten items have been identified, we need to distinguish relevant ones from the rest. Given user taste shifts, as well as the changes in the system as a whole, not all unexpected items remain relevant, and consequently useful for recommendation. The key concept to identify relevant items is the extbf{relevance score} of the items at each moment. We propose four strategies to define the relevance score of each unexpected item.

Week 3 Practice Problems 1. The class handout cites 3 basic purposes for studying statistics: data reduction, inference, and identification of relationships. In your own words, describe these three ideas in a couple of sentences each. Why do we study statistics? We study statistics for 3 reasons below: Data Reduction:

Companies like FedEx use them to determine the effects of price change or new services, and has seen 65%-90% accuracy. This ability to determine the best solution before it happens is an incredible achievement. Making changes that aren’t well receptive can cost your business customers, reputation, and much more. Putting out the right plan the first time can save your face and more importantly, you cash flow. For the city planner, predicting which bus stops will have the

Effective prediction of ratings from a little range of examples is very important. Also, the reliability of the collaborative recommendation system depends on the provision of a crucial mass of users. For example, within the movie recommendation system, perhaps there can be several movies that are rated by solely few individuals and these movies would be recommended terribly rarely, even if those few users gave high ratings to them. For the user whose tastes are uncommon compared to the remainder of the population, there will not be the other users who are particularly similar, resulting in poor recommendations. 1.4 Objective:

Statistic is more accurate when it comes to show the level. For example, 1 bottle of soda might be “a few” for soda lovers, but it might be “too much” and unacceptable for the ones who want a healthy life or just hate the feeling of hiccups. Jacoby used statistics to support his argument, and let audiences get convinced after they get the numbers and start to feel the same way Jacoby feels. For example, when he discussed how jail is costly, he mentioned the price with the statistic. “Meanwhile, the price of keeping criminals in cages is appalling-a common estimate is 30,000 per inmate per year.”

However, statistics

Classification If you are not an only child, have you ever wondered if being the oldest or middle child ever hurts you on being smarter than the other? In Jeffery Kluger’s essay, he discusses the difference in birth order and how it plays a big factor on being successful in life. Whether you are the first, second, or third born, it all hinges on the birth order. He talks about the different orders in the essay and that is what we are going to be talking about in the essay.

In baseball, nearly everything is a statistic. There is a statistics for a players average on certain pitches in certain places in the strike zone. There are statistics on how many more wins a player gives his team more than a replacement level player. Statistics, while not always pure, have helped the game evolve through changes, to a game where small market clubs can compete with teams like the Yankees.

In their articles the use of statistics was something that was good. When people see numbers it’s a good way to get the people 's attention. People react faster to numbers then when you try to explain it to them. A rhetorical strategy the authors of this paper used were ethos.

Data Activation This tool of google analytics lets companies to make smarter marketing decisions, to improve marketing campaigns, experiment with new channels and content. • Alerts & Intelligence • Experiments • Remarketing Alerts & Intelligence: Google analytics monitors web traffic to detect significant statistical variations, they generates alerts when occur. It gives insights by having closer look that we may

The revolution of statistics began with the ruler who wanted the monitor it people. Sweden had forged the development of statistics, 50 years before the Austrians, Belgian, Deans, Dutch, France, Germans, and Italian and finally the British. Modern statistic comes from the word ‘state’ three centuries ago, from the Swedish table Verket. In 1749, the Swedish government collect the first ever systematic record of births, marriages and deaths in the table Verket gather from every parish in Sweden. In northern Europe, Sweden was the greatest military power, however 1749, Sweden notice they were the only European country with a decline in their status, as other countries were growing stronger.

These reports gather statistical data of files that we have in our office. However, the mathematical formulas to come up with these statistics are simple and require basic operations like addition, subtraction and division. The experience that a student can gain through algebra allows them to analyze skillfully

Health statistics are important for knowing the health status of the whole population and its various segments and groups, as well as the trend in health status, the provision and distribution of healthcare services, and the impact of the provided services and programs. he success or failure of healthcare programs cannot be veriied without properly collected and interpreted health statistics. Proper allocation of resources also depends on health statistics. Researchers, presenters, and health care workers and students always need health statistics. However, it is not uncommon to ind a local article or presentation, which reports health statistics from all over the world, but fail to report local statistics from the Kingdom of Saudi Arabia (KSA).

Particularly, regression analysis, a statistical process to estimate the connection among dependent and independent variables. Accordingly, by using regression analysis the analyst can create the score that produced by those variables to predict what company needs like customer purchase behavior. The third and the last model is assumptions. Both data and statistics have assumptions to make a viewpoint and conclusion about the predictive data.